Jobs in the United States

25+ jobs

Added 6 mins ago
Principal Core Engineer - Infra / SRE
Edgescale AI
Denver, CO
We’re looking for a Core Engineer at the Principal Infra / SRE level to own the reliability, scalability, upgradeability, and operational excellence of our edge platform at fleet scale.
Added 6 mins ago
Forward Deployed Engineer
Edgescale AI
Denver, CO
We’re looking for a Forward Deployed Engineer (FDE) to accelerate the application of AI in real-world environments by embedding with customers and partners to deliver high-impact…
Added 6 mins ago
Core Engineer - Software / Applied AI (Multiple Levels)
Edgescale AI
Denver, CO
We’re looking for a Core Engineer focused on Software / Applied AI to build the production AI capabilities that make our edge platform scalable, reliable, and repeatable.
Added 6 mins ago
Core Engineer - Hardware Systems (Multiple Levels)
Edgescale AI
Denver, CO
We’re looking for a Core Engineer focused on hardware systems to build and evolve the physical edge platform that runs our private AI and data infrastructure in the real world.
Added 6 mins ago
Core Engineer - Data Systems (Multiple Levels)
Edgescale AI
Denver, CO
We’re looking for a Core Engineer focused on data systems to build the data and streaming foundations that make our edge platform reliable, observable, and repeatable.
Added 8 mins ago
TH
Senior Software Engineer, AI
Tono Health
Brooklyn, NY
- $180,000 to $275,000 USD / year
Tono builds software and operations together to make specialty care faster to access and easier to deliver, starting with dermatology.
Added 8 mins ago
Senior AI Engineer
Heart of the Dawn Games
Los Angeles, CA
We are looking for an experienced AI Engineer to join our early stage team. In this role you will build systems and features that support a rich open world in Unreal Engine 5. We are…
Added 9 mins ago
QA Engineer
Recruiting Source International LLC
TX · Houston, TX
Develop and execute automated test scripts to ensure product quality.
Added 9 mins ago
SE
Energetics Process Engineer
Supply Energetics
Parsons, KS
- $145,000 to $170,000 USD / year
We’re hiring an Energetics Process Engineer at our Prairie Forge production facility in Parsons, KS to manage industrial process and equipment for our overall physical operations. The role…
Added 11 mins ago
Sr IT Software Engineer
Palo Alto Networks, Inc.
CA
The Senior Software Engineer on the Data & Analytics team will design, build, and support full-stack applications; integrate AI technologies into existing and new applications to deliver…
Added 12 mins ago
BS
Product Engineer
Bubble Sort Recruiting
San Francisco, CA
- $180,000 to $250,000 USD / year
Own both product manager and software engineer responsibilities
Added 14 mins ago
RU
SDET Automation Engineer
Randstad USA
Washington, DC
- $50 to $58 USD / hour
Randstad is seeking a Senior SDET Automation Engineer to join a premier client in the Washington, DC area to lead the design, development, and scaling of enterprise-grade test automation…
Added 15 mins ago
Mechanical Engineer, Production Operations (Starship)
SpaceX
Starbase, TX · Brownsville, TX
OPERATIONS ENGINEER, STARSHIP PRODUCTION (STARBASE)
Added 15 mins ago
Integration Engineer, Heatshield (Starship)
SpaceX
Starbase, TX · Brownsville, TX
…Starship's reentry heatshield and structures. As an integration engineer, you will work very closely with the production team to build, integrate, test, and refurbish heat shield hardware…
Added 15 mins ago
Lead QA Engineer - Equity Only
Luupli
Remote, United States
We are seeking an experienced Lead QA Engineer to lead our quality assurance efforts. In this role, you will be responsible for ensuring the highest quality standards for our mobile…
Added 15 mins ago
AI Engineer - Equity Only
Luupli
Remote, United States
…impact on society and the planet. Our app is currently in Beta Test, and we are excited about the possibilities it presents. Our team is made up of passionate and dedicated individuals who…
Added 15 mins ago
MT
Lead Engineer
Medina Talent Group
Irvine, CA
- $135,000 to $150,000 USD / year
The Lead Engineer for Enterprise Applications is responsible for driving the design, development, modernization, and lifecycle management of enterprise application portfolios. This role…
Added 16 mins ago
Staff/Senior Software Engineer, CAD App (Full stack)
Motif
Remote, United States
…full-stack development experience and passion to build robust software using modern languages and tech stacks such as Rust and WASM. You'll also bring a thoughtful approach to leveraging AI…
Added 17 mins ago
SD
Mobile Test Engineer
SunCore Digital
Scottsdale, AZ · Bellevue, WA
- $135,000 to $155,000 USD / year
SunCore Digital is seeking a Mobile QA Engineer, Flutter to own hands-on testing of our Flutter-based mobile applications across supported Android and iOS devices.
Added 17 mins ago
Senior Mechanical Engineer
Anastasia Talent Group
Houston, TX
Anastasia Talent Group is recruiting a Senior Mechanical Engineer on behalf of a confidential organization in Houston, Texas. This role leads the design, development, and improvement of mud…
Added 17 mins ago
AI Full Stack Engineer (Volunteer)
Solution Community
Remote, United States
Position Overview: We are seeking a Volunteer AI Full Stack Engineer who builds production software the way top AI-native engineers build in 2026: primarily through AI coding agents (Claude…
Added 18 mins ago
Senior Test Automation Engineer
HJ Staffing
Houston, TX
Our client’s Testing Automation Team is hiring a Senior Test Automation Engineer to help build and scale the automated testing backbone that keeps their software releases fast, stable, and…
Added 19 mins ago
Software Engineer (TS/SCI CI Poly Required)
Community Talent Partners
Alexandria, VA · Annapolis, MD · Aurora, CO · San Diego, CA
As a Software Engineer, you will join a high-performing agile team supporting secure enterprise systems. You will be involved in the full software development lifecycle, utilizing Scaled…
Added 19 mins ago
Senior Mechanical Engineer
Fabri
Billerica, MA
Fabri is seeking a Senior Mechanical Engineer to architect, design, and deliver the in-house equipment and infrastructure that defines our manufacturing processes. This is a foundational…
Added 19 mins ago
Principal Systems Engineer
Fabri
Boston, MA
Fabri is seeking a Principal Systems Engineer to architect, design, and deliver the in-house equipment and infrastructure that defines our manufacturing processes. This is a foundational…

Core Engineer - Software / Applied AI (Multiple Levels)

Denver, CO, United States

This role may be filled at the Senior or Staff level, with a base salary range of $130,000–$155,000 (Senior) or $160,000–$185,000 (Staff).

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Job details

Pay: This role may be filled at the Senior or Staff level, with a base salary range of $130,000–$155,000 (Senior) or $160,000–$185,000 (Staff).
Posting language: English

Original job description

The Opportunity We’re looking for a Core Engineer focused on Software / Applied AI to build the production AI capabilities that make our edge platform scalable, reliable, and repeatable. You’ll own core pieces of our private AI platform - agentic and multi-agent systems, repeatable AI structures, evaluation and reliability mechanisms, and platform capabilities like auto fine-tuning and runtime optimization of infrastructure and models. This work operates within clear industrial production boundaries: AI can suggest and act only within well-defined limits, and we do not ship AI behavior into industrial production without evaluation, clear ownership, and a way to roll back. You’ll partner with data and infrastructure teams for requirements and feedback, then generalize learnings into platform capabilities that scale across deployments. This is a hands-on role for someone who thrives in a high-ownership setting and wants to build the infrastructure that makes real-world AI possible. What You’ll Do

Build and operate production AI capabilities including agentic and multi-agent workflows, tool calling, orchestration, and repeatable patterns that scale.
Design and implement evaluation, monitoring, and quality systems that make AI behavior measurable, reliable, continuously improving, and safe in production.
Build platform capabilities for private AI, including auto fine-tuning workflows, model/runtime optimization, and performance improvements for inference under real constraints.
Implement safety and operational controls so AI behavior is bounded and production-ready, including policy constraints, approval workflows, auditability, and rollback mechanisms.
Develop pragmatic interfaces and APIs that make AI capabilities easy to integrate across platform services and customer environments.
Improve developer velocity through automation and tooling, using AI tools to accelerate implementation, tests, documentation, and iteration loops, then refining with engineering judgment.
Partner with data and infrastructure teams to ensure the right context reaches inference and agent workflows with predictable latency, reliability, and cost.
For senior roles: mentor engineers, review designs, and raise the technical bar across the organization.

What Success Looks Like

In your first 3 months, you will have:

Shipped at least one production AI capability (agents, evaluation, fine-tuning, or runtime optimization) that improves platform reliability, performance, or usability.
Established a strong evaluation and rollback model for at least one AI workflow operating within industrial production boundaries.
Earned trust through autonomy and execution - becoming a go-to owner for production AI platform capabilities.

In your first year, you will be:

Owning major components of the private AI platform end-to-end, with clear accountability for reliability, performance, and platform adoption.
Shipping repeatable AI structures that compress adoption cycles and scale across deployments (evaluation, guardrails, orchestration, optimization, operational playbooks).
Driving platform evolution through product enhancements grounded in real-world constraints and measurable outcomes, with safe rollout and rollback as a default.

Who You Are

6+ years building and operating production software systems; experience shipping AI-enabled platforms or agentic systems is strongly preferred.
Strong fundamentals in distributed systems, performance, and reliability; comfort owning production services end-to-end (e.g., Docker/Kubernetes deployments, APIs via REST/gRPC, and strong production discipline around rollout and rollback).
Experience building evaluation frameworks, monitoring, and safety/guardrail systems that enable controlled AI behavior in production (e.g., automated eval harnesses, drift/quality monitoring, tracing, and structured telemetry).
Strong engineering craft: clean implementations, thoughtful designs, operational clarity, and strong documentation (e.g., Python and/or TypeScript/Go, FastAPI-style services, and effective testing practices).
Comfort working in ambiguity and making sound trade-offs under real constraints (latency, cost, GPU utilization, and reliability).
Clear communicator and strong collaborator across engineering and commercial teams.
Ownership mindset: outcomes over tasks.

Unique Experiences We Value

Production experience building agentic and multi-agent systems, orchestration layers, and evaluation frameworks with clear reliability goals (e.g., tool calling, workflow orchestration, and evaluation loops that are measurable and repeatable).
Experience designing repeatable AI structures (tool calling, memory/state patterns, policy constraints, safety/guardrails) that can be reused across applications and deployed through stable APIs.
Building fine-tuning workflows and runtime optimization systems for private AI deployments, including performance and cost trade-offs (e.g., inference optimization, batching/caching, GPU efficiency, and vLLM-style serving).
Experience building monitoring and quality systems for AI behavior that enable measurable improvement over time and safe rollback (e.g., offline/online evaluation, tracing, structured logs, metrics, and incident-driven iteration).
Strong systems instincts across data, infrastructure, and security constraints that impact AI in production (e.g., event/data systems like Kafka, operational stores like Postgres/time-series databases, and secure deployment patterns).

Benefits

We work in a high-ownership, real-world startup environment where you’ll move fast, build new systems, and see your impact immediately - what you ship runs in the field and drives measurable customer outcomes.
We work alongside AI every day. Writing static code, docs, or plans “by hand” is no longer accepted - here you’ll use the latest AI tools to iterate and ship faster and to apply AI with our customers at scale.
You’ll take on elite technical challenges at the frontier of infrastructure, including next-generation cloud and IoT, hardware/software/networking in real-world edge environments, the foundation for data and AI inference, and industry-leading secure systems in demanding operational (OT) settings.
You’ll learn fast by working with exceptional teammates and collaborating directly with industry leaders as partners in software, AI, and infrastructure.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. This role may be filled at the Senior or Staff level, with a base salary range of $130,000–$155,000 (Senior) or $160,000–$185,000 (Staff).
Total compensation for this role includes equity in your work. You are eligible for meaningful equity through stock options in an early-stage, high-growth company.
You are eligible to participate in company benefit plans, which may include health, dental, and vision coverage, a 401(k) with company match, flexible PTO, paid parental leave, commuter benefits, and relocation and visa support for eligible roles.

Edgescale AI At Edgescale AI, we’re deploying AI in the real world - helping customers apply this technology to unlock transformative productivity gains. Our work sits at the intersection of infrastructure, security, networking, and AI, where reliability and performance are non-negotiable and where solutions demand deep, distributed systems thinking. We’re intensely AI-native. We build with AI, we ship AI, and we use it every day to accelerate how we design, test, deploy, and operate complex systems. If you want to help pave the application of AI in the real world, at global scale, we want to hear from you. Edgescale AI is building an inclusive, merit-based organization. We are an equal opportunity employer and do not discriminate on any legally protected status. We value diversity, inclusion, and a shared passion for creating real-world impact.

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